code: def test_make_regressor_3():
      """Test the generated regressor."""
      condition = ([1, 20, 36.5], [2, 2, 2], [1, 1, 1])
      frame_times = np.linspace(0, 138, 70)
      hrf_model = "fir"
  
      reg, reg_names = compute_regressor(
          condition, hrf_model, frame_times, fir_delays=np.arange(4)
      )
  
      assert_array_almost_equal(np.sum(reg, 0), np.array([3, 3, 3, 3]))
      assert len(reg_names) == 4
  
      reg_, _ = compute_regressor(
          condition,
          hrf_model,
          frame_times,
          fir_delays=np.arange(4),
          oversampling=50.0,
      )
  
      assert_array_equal(reg, reg_)
  
imports: import warnings
  import numpy
  import pytest
  from numpy.testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from nilearn.glm.first_level.hemodynamic_models import _calculate_tr, _hrf_kernel, _regressor_names, _resample_regressor, _sample_condition, compute_regressor, glover_dispersion_derivative, glover_hrf, glover_time_derivative, orthogonalize, spm_dispersion_derivative, spm_hrf, spm_time_derivative
label_desc: Use image node_id 21 for calling a global function with example usage: test_make_regressor_3() without return types